Hyster-Yale (HY) Other Accumulated Expenses (2011 - 2026)
Hyster-Yale (HY) posted Other Accumulated Expenses of $215.4 million for Q3 2026, up 0.5% from $214.4 million a year earlier but down 0.9% from the prior quarter.
Hyster-Yale (HY) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Hyster-Yale's Other Accumulated Expenses came in at $210.5 million, down 12.8% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Hyster-Yale's Other Accumulated Expenses was $241.3 million in FY2024 (-10.8%), $270.4 million in FY2023 (+10.2%), $245.4 million in FY2022 (+22.9%) and $199.6 million in FY2021 (+27.2%).
- Quarterly Other Accumulated Expenses has run from a low of $199.6 million in Q4 2021 to a high of $313 million in Q3 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 10.3%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2022, with growth of 46.7%; the weakest was Q1 2025, with a decline of 23.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $217.3 million (Q2 2026), $215.2 million (Q1 2026) and $210.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 215.40 Mn |
| Jun 30, 2026 | 217.30 Mn |
| Mar 31, 2026 | 215.20 Mn |
| Dec 31, 2025 | 210.50 Mn |
| Sep 30, 2025 | 214.40 Mn |
| Jun 30, 2025 | 214.10 Mn |
| Mar 31, 2025 | 221.30 Mn |
| Dec 31, 2024 | 241.30 Mn |
| Sep 30, 2024 | 246.90 Mn |
| Jun 30, 2024 | 271.50 Mn |
| Mar 31, 2024 | 290.10 Mn |
| Dec 31, 2023 | 270.40 Mn |
| Sep 30, 2023 | 313.00 Mn |
| Jun 30, 2023 | 308.80 Mn |
| Mar 31, 2023 | 288.30 Mn |
| Dec 31, 2022 | 245.40 Mn |
| Sep 30, 2022 | 278.10 Mn |
| Jun 30, 2022 | 245.70 Mn |
| Mar 31, 2022 | 213.80 Mn |
| Dec 31, 2021 | 199.60 Mn |
Hyster-Yale Other Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();